code: def __repr__(self) -> str:
      args_string = ", ".join(
          (
              f"trunc: {self.trunc}",
              f"gauss: {self.gauss}",
              f"cross_covariance_matrix: {self.cross_covariance_matrix.shape}",
          )
      )
      return self.__class__.__name__ + "(" + args_string + ")"
  
imports: from __future__ import annotations
  from inspect import getmembers
  from typing import Optional, Sequence, Union
  import torch
  from botorch.utils.probability.linalg import augment_cholesky, block_matrix_concat
  from botorch.utils.probability.mvnxpb import MVNXPB
  from botorch.utils.probability.truncated_multivariate_normal import TruncatedMultivariateNormal
  from linear_operator.operators import LinearOperator
  from linear_operator.utils.errors import NotPSDError
  from torch import Tensor
  from torch.distributions.multivariate_normal import Distribution, MultivariateNormal
  from torch.distributions.utils import lazy_property
  from torch.nn.functional import pad
label_desc: Use image node_id 6 for calling the UnifiedSkewNormal obj's underlying member method code with example usage: obj.__repr__() and returns: unknown